Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, The Netherlands.
Institute for Risk Assessment Sciences, Utrecht University, 3584 CK Utrecht, The Netherlands.
Environ Sci Technol. 2024 Jun 18;58(24):10685-10695. doi: 10.1021/acs.est.3c10867. Epub 2024 Jun 5.
Air pollution exposure is typically assessed at the front door where people live in large-scale epidemiological studies, overlooking individuals' daily mobility out-of-home. However, there is limited evidence that incorporating mobility data into personal air pollution assessment improves exposure assessment compared to home-based assessments. This study aimed to compare the agreement between mobility-based and home-based assessments with personal exposure measurements. We measured repeatedly particulate matter (PM) and black carbon (BC) using a sample of 41 older adults in the Netherlands. In total, 104 valid 24 h average personal measurements were collected. Home-based exposures were estimated by combining participants' home locations and temporal-adjusted air pollution maps. Mobility-based estimates of air pollution were computed based on smartphone-based tracking data, temporal-adjusted air pollution maps, indoor-outdoor penetration, and travel mode adjustment. Intraclass correlation coefficients (ICC) revealed that mobility-based estimates significantly improved agreement with personal measurements compared to home-based assessments. For PM, agreement increased by 64% (ICC: 0.39-0.64), and for BC, it increased by 21% (ICC: 0.43-0.52). Our findings suggest that adjusting for indoor-outdoor pollutant ratios in mobility-based assessments can provide more valid estimates of air pollution than the commonly used home-based assessments, with no added value observed from travel mode adjustments.
空气污染暴露通常在人们居住的大门处进行评估,而忽略了个人日常的户外活动。然而,将移动数据纳入个人空气污染评估中是否能比基于家庭的评估更好地评估暴露情况,这方面的证据有限。本研究旨在比较基于移动和基于家庭的评估与个人暴露测量之间的一致性。我们在荷兰对 41 名老年人进行了重复的颗粒物(PM)和黑碳(BC)测量。总共收集了 104 份有效的 24 小时平均个人测量值。基于家庭的暴露量是通过结合参与者的家庭位置和时间调整后的空气污染地图来估计的。基于智能手机跟踪数据、时间调整后的空气污染地图、室内外渗透和旅行模式调整,计算了基于移动的空气污染估计值。组内相关系数(ICC)显示,与基于家庭的评估相比,基于移动的估计值显著提高了与个人测量值的一致性。对于 PM,一致性提高了 64%(ICC:0.39-0.64),对于 BC,一致性提高了 21%(ICC:0.43-0.52)。我们的研究结果表明,在基于移动的评估中调整室内外污染物比率可以提供比常用的基于家庭的评估更准确的空气污染估计值,而从旅行模式调整中没有观察到额外的价值。